Sponsored by
Sort By
A software framework for high performance terrestrial hydrology modeling and data assimilation developed with the goal of integrating satellite and ground-based observational data products.
lang: Fortran
stars: 127
last activity:
Python-based tidal prediction software for estimating ocean, load, solid Earth and pole tides.
lang: Python
stars: 176
last activity:
Open Data Collection System for Hydro/Meteorologic Data.
lang: Java
stars: 41
last activity:
A Data Visualization tool that enables users to discover and view 3D ocean model output quickly and easily.
lang: Python
stars: 52
last activity:
An open source project designed to facilitate access to a variety of online open data sources relevant for hydrologists and, in general, environmental scientists and practitioners.
lang: R
stars: 48
last activity:
Provides tools to automate the morphological delineation of riverside urban areas following the CRiSp (City River Spaces) method.
lang: R
stars: 17
last activity:
Python package to build, run and visualize MODFLOW 6 groundwater models in the Netherlands.
lang: Python
stars: 41
last activity:
An open-source Python framework for the analysis of groundwater time series.
lang: Python
stars: 398
last activity:
A global network of nearly 4000 autonomous probes measuring pressure, temperature and salinity from the surface to 2000m depth every 10 days.
lang: Python
stars: 207
last activity:
Fast and friendly fluid dynamics on CPUs and GPUs.
lang: Julia
stars: 1.2K
last activity:
An API that repackages hydrology datasets from the Surface Water and Ocean Topography satellite into formats that make time-series analysis easier.
lang: Python
stars: 28
last activity:
Makes it easier to use hydrological models without having intimate knowledge about how to install and run the models.
lang: Python
stars: 37
last activity:
A collection of Python modules associated with running the SalishSeaCast ocean models system of daily nowcasts and forecasts.
lang: Python
stars: 4
last activity:
A collaborative website for better access to data and models in the hydrologic sciences.
lang: Python
stars: 190
last activity:
Can be used to track passive and active particulates such as water, plankton, plastic and fish.
lang: Python
stars: 329
last activity: